Practical considerations in cluster design for Co-ordinated Multipoint (CoMP) systems. - Venkatadheeraj Pichapati; Parul Gupta (ICC, 2013)

On the estimation of available bandwidth in broadband cellular networks. - UmaMaheswari Devi; Hariharasudhan Viswanathan; Ravi Kokku; Venkatadheeraj Pichapati; Shivkumar Kalyanaraman (SECON, 2014)

Location assisted handoffs in dense cellular networks. - Venkatadheeraj Pichapati; Hemant Kowshik; Anand Prabhu Subramanian; Ravi Kokku; Malolan Chetlur (SECON, 2014)

Faster Algorithms for Testing under Conditional Sampling. - Moein Falahatgar; Ashkan Jafarpour; Alon Orlitsky; Venkatadheeraj Pichapati; Ananda Theertha Suresh (COLT, 2015)

Universal compression of power-law distributions. - Moein Falahatgar; Ashkan Jafarpour; Alon Orlitsky; Venkatadheeraj Pichapati; Ananda Theertha Suresh (ISIT, 2015)

Estimating the number of defectives with group testing. - Moein Falahatgar; Ashkan Jafarpour; Alon Orlitsky; Venkatadheeraj Pichapati; Ananda Theertha Suresh (ISIT, 2016)

Learning Markov distributions: Does estimation trump compression? - Moein Falahatgar; Alon Orlitsky; Venkatadheeraj Pichapati; Ananda Theertha Suresh (ISIT, 2016)

Maximum Selection and Ranking under Noisy Comparisons. - Moein Falahatgar; Alon Orlitsky; Venkatadheeraj Pichapati; Ananda Theertha Suresh (ICML, 2017)

Maxing and Ranking with Few Assumptions. - Moein Falahatgar; Yi Hao; Alon Orlitsky; Venkatadheeraj Pichapati; Vaishakh Ravindrakumar (NIPS, 2017)

The power of absolute discounting: all-dimensional distribution estimation. - Moein Falahatgar; Mesrob I. Ohannessian; Alon Orlitsky; Venkatadheeraj Pichapati (NIPS, 2017)

The Limits of Maxing, Ranking, and Preference Learning. - Moein Falahatgar; Ayush Jain 001; Alon Orlitsky; Venkatadheeraj Pichapati; Vaishakh Ravindrakumar (ICML, 2018)

On Learning Markov Chains. - Yi Hao; Alon Orlitsky; Venkatadheeraj Pichapati (NeurIPS, 2018)

AdaCliP: Adaptive Clipping for Private SGD. - Venkatadheeraj Pichapati; Ananda Theertha Suresh; Felix X. Yu; Sashank J. Reddi; Sanjiv Kumar (CoRR, 2019)

Maxing, Ranking and Preference Learning. - Venkatadheeraj Pichapati (2019)

Towards Competitive N-gram Smoothing. - Moein Falahatgar; Mesrob I. Ohannessian; Alon Orlitsky; Venkatadheeraj Pichapati (AISTATS, 2020)

Optimal Sequential Maximization: One Interview is Enough! - Moein Falahatgar; Alon Orlitsky; Venkatadheeraj Pichapati (ICML, 2020)

On Learning Parametric Non-Smooth Continuous Distributions. - Sudeep Kamath; Alon Orlitsky; Venkatadheeraj Pichapati; Ehsan Zobeidi (ISIT, 2020)